As you discovered in our last post, AI and the future of Cybersecurity, AI is making cybersecurity more difficult due to the speed and sophistication it brings to malicious attacks, causing traditional malware prevention technologies and methodologies to not be enough to keep your organization safe. This article shifts focus to the broader threat landscape of 2025, focusing on the most significant threats observed so far this year and projects what we should prepare for through the end of 2025 and into 2026. As you’ll see, it will be challenging to stay secure thanks to the deployment of AI and other new technologies. UniVista continues to be a leader in Cybersecurity with its support agreements that include leading cybersecurity products from Cisco, Huntress, and Knowbe4.

Top Cybersecurity Threats Observed in 2025 (So Far)

  1. AI-Enhanced Phishing and Social Engineering

The landscape of cybersecurity threats has evolved significantly in 2025, with AI-enhanced phishing and social engineering becoming increasingly sophisticated. One of the most alarming tactics involves the use of deepfakes and voice cloning to impersonate trusted individuals. For instance, a finance employee at Arup was deceived into transferring $25 million during a video call that featured AI-generated deepfakes of the CFO and colleagues. Sources: CrowdStrike & The Hacker News

How to Combat This Threat:

Conduct regular phishing simulations and awareness training using an application like KnowBe4.

Use a desktop application like Cisco Umbrella to block malicious domains and phishing links.

Use a next generation security application like Huntress AV to detect and respond to suspicious endpoint behavior.

  1. Ransomware-as-a-Service (RaaS) Evolution

Ransomware-as-a-Service (RaaS) platforms have evolved to become more accessible, allowing even low-skill attackers to launch sophisticated campaigns. New tactics include: AI-generated phishing (which creates personalized and convincing emails that mimic internal communications), double extortion (where data is encrypted and threatened to be leaked unless a ransom is paid), and hybrid work exploitation (targeting home networks and personal devices with weaker security). Sources: Proactive Data & Techopedia

How to Combat This Threat:

Keep all systems patched and up to date or use an MSP like UniVista to guarantee that your systems will be properly patched.

Make sure that your desktop security applications include ransomware behavior detection and rollback features like Huntress AV.

Train employees with KnowBe4 to recognize suspicious attachments and links.

  1. Zero-Day Exploits in Widely Used Software

Thanks to AI, zero-day threats are becoming more widely exploited. High-profile vulnerabilities in platforms like Microsoft SharePoint have been targeted by attackers before patches were released, leading to substantial security breaches. These exploits have allowed malicious actors to gain unauthorized access to sensitive data and disrupt operations, highlighting the critical need for timely patch management and robust security measures to mitigate such threats. Sources: CPO Magazine & Bleeping Computer

How to Combat This Threat:

Apply patches as soon as they are tested, validated and released. UniVista does this for all systems that it supports.

Use a security application that can block exploit delivery domains like Cisco Umbrella.

Monitor endpoints for unexpected behavior with an application like Huntress AV.

  1. Cloud Misconfigurations and API Exploits

APIs, two software systems “talking” to each other by using a set of definitions and protocols, have emerged as a leading cause of cloud breaches due to misconfigurations. For instance, T-Mobile faced unauthorized access to customer data due to internal APIs that were exposed to hackers. Facebook also experienced data exposure from over-permissive access tokens and unauthenticated endpoints. Volkswagen Cariad also suffered a breach when a misconfigured system hosted by Amazon exposed the GPS and contact data of 800,000 EV owners. Common misconfigurations contributing to these breaches include unauthenticated endpoints, over-permissive access tokens, forgotten staging/test APIs in production, and a lack of rate limiting and schema validation. Sources: Business News Today & Cybersecurity News

How to Combat This Threat:

Verify, or employ an organization like Univista to verify, that your key vendors conduct regular cloud configuration audits for your key hosted applications.

  1. Supply Chain Attacks

In 2025, cybercriminals have increasingly targeted third-party vendors to infiltrate larger organizations. By compromising these vendors, attackers can bypass direct defenses and gain access to their ultimate targets, often with devastating results. For instance, United Natural Foods experienced a cyberattack that led to food shortages at Whole Foods and multiple threat actors exploited vulnerabilities in the Ivanti VPN to breach Ivanti’s customer enterprise networks. Sources: CRN & Daily Security Review

How to Combat This Threat:

Vet, or employ an organization like Univista to vet your third-party vendors for their cybersecurity practices.

Emerging and Projected Threats for Late 2025 into 2026

  1. Autonomous AI Malware

Autonomous AI malware is a significant emerging threat in cybersecurity that could completely change the threat landscape. This type of malware can adapt and make decisions in real time, which allows it to evade traditional defenses. It uses advanced AI techniques to analyze its environment and modify its behavior accordingly, making it much harder to detect and neutralize. Sources: Goldilock & ProDigitalWeb

How to Combat This Threat:

Use a desktop security like Huntress AV that can perform behavior-based malware detection.

Use a desktop security like Cisco Umbrella to block known malicious command-and-control traffic.

Keep all systems patched and up to date or use an MSP like UniVista to guarantee that your systems will be properly patched.

  1. Quantum-Ready Cryptographic Threats

To explain Quantum computing completely would require a blog unto itself. Just know that Quantum computing is so powerful that it has the potential to make child’s play of all current encryptions. Imagine the potential of having all encrypted data exposed. That is how big a threat Quantum Computing is to all classic encryptions. Sources: IoT World Today & Cybersecurity News

How to Combat This Threat:

Verify that your vendors are actively testing post-quantum cryptographic algorithms. The National Institute of Standards and Technology (NIST) has released encryption standards for Quantum Cryptography.

Reverify encryption standards on a regular basis.

Conclusion

As you can see, 2025 has offered a significant change to the Cybersecurity landscape and 2026 will only grow on the progress malicious actors have already made. The best thing you can do is stay active and educated in the security arena, or partner with an MSP like UniVista. We focuse on the best security practices in the market and use applications from the best vendors in the Cybersecurity space. If you do have questions about this or any other subject, please reach out to UniVista at 512-832-6209, option 2 or contact us at [email protected]

 

In today’s digital arena, artificial intelligence (AI) is proving to be both a sword and a shield. While AI is revolutionizing the tools we use to defend systems, it is simultaneously equipping cybercriminals with sophisticated means to launch attacks faster and more effectively than ever before. The dual nature of AI is tilting the scales, making cybersecurity harder. Rest assured, with UniVista at your side, your cybersecurity strategy will evolve to protect against the changing landscape. 

Is AI Making Cybersecurity Easier or Harder? 

UniVista’s stance is clear: AI is complicating cybersecurity. While AI enhanced defense systems show promise, they’re still outpaced by the innovation of threat actors. Here’s why: 

  • Acceleration of Fake Content Creation: AI tools can generate deceptive emails, synthetic images, and convincing fake personas at scale. 
  • Lower Entry Bar for Cybercriminals: AI generated scripts and tools make it easier for amateurs to mimic seasoned hackers. 
  • Outpaced Defenses: The sheer volume and evolving sophistication of threats are overwhelming traditional security systems. 

AI Driven Threats: Real World Examples 

1. Phishing 2.0: Smarter Social Engineering 

Modern phishing attacks now feature AI generated emails that can perfectly mimic a company’s tone, grammar, and branding. These adaptive messages respond to user behavior in real time, increasing the likelihood of deception. AI generated emails mimic human interaction by updating the narrative mid conversation to remain believable. 

2. Voice Cloning and Deepfake Audio 

In a chilling real world case, a threat actor used AI to impersonate Senator Marco Rubio, sending fake Signal voice messages to high level officials and foreign ministers in a deceptive campaign. 
NBC News – AI Voice Used to Impersonate Marco Rubio 

3. Synthetic Images and Deepfake Scams 

AI generated imagery now plays a central role in digital deception, and it’s not just for funny social media posts: 

4. AI Powered Malware 

AI now enables polymorphic malware, code that rewrites itself on the fly to avoid detection, and adaptive malware that analyzes its environment before executing attacks. AI-driven reconnaissance tools also scan for and prioritize high value targets at unprecedented speed. 

5. Automated Exploitation at Scale 

AI can now scan and exploit vulnerabilities across massive systems, tailoring each attack based on the specific configuration of the target. This level of automation and customization makes these attacks stealthier and more effective than ever. 

The Future of Cybersecurity in an AI Driven World 

Cybersecurity has never been a game of static defense, but with AI on the malicious actor’s side, the pace of sophisticated threat detection has increased. To keep pace with AI driven attackers, businesses must: 

  • Adopt behavior based detection instead of relying solely on signature-based tools. 
  • Invest in threat intelligence that proactively hunts emerging AI-enhanced threats. 
  • Continuously train staff, especially in high-risk sectors like finance and government, to recognize and resist AI-driven deception. 

How UniVista Is Responding 

At UniVista, we’re addressing the AI cybersecurity challenge head on through: 

  • AI Awareness security strategies 
  • Investment in advanced threat detection and response tools  
  • Cybersecurity Awareness Training with KnowBe4: In partnership with industry leaders like KnowBe4, we deliver tailored cybersecurity awareness training that helps employees recognize phishing, deepfakes, and other AI-driven threats. KnowBe4’s platform focuses on managing human risk and building a resilient security culture through continuous education and behavior based reinforcement. 
    KnowBe4 – Human Risk Management and Security Training 
  • Strategic Partnerships: We collaborate with vendors specializing in AI threat defense, whether through AI augmented platforms or human led threat hunting approaches like those championed by our Cybersecurity partner Huntress Securities.  

Conclusion: The Double-Edged Sword of AI 

While AI offers powerful tools for defense, it is currently making cybersecurity more difficult due to the speed and sophistication it brings to malicious attacks. Traditional red flags for malicious content are no longer enough to keep your organization safe.  

To navigate this new frontier, organizations must stay informed, stay vigilant, and most importantly, partner with cybersecurity leaders like UniVista who are evolving with AI and ensuring customer’s networks are threat resilient. 

The future of cybersecurity and AI is about being prepared. Let UniVista be your guide. If you have any questions about this or any other topic we cover, please ask. Your ongoing feedback is always considered as we continue to improve our processes and evolve our offerings.